Asset Health Monitor, a cutting-edge IoT device designed specifically for monitoring machine acoustics, vibrations, temperature, and ultrasonic sound frequencies.
The sensor can detect and measure Triaxial Vibration, Temperature, Acoustic Emissions, and Magnetic flux. With a response time of less than 3 seconds, the AHM sensor can be easily configured and deployed on your own.
Leveraging its M2M service provider and edge computing functionality the sensor ensures a seamless data transfer regardless of your infrastructure. Plus the C1D1, Zone 0 certification ensures a safe and reliable device in explosive & hazardous Environments.
Asset Health Monitoring uses AI-driven predictive analytics to enable smart systems, optimizing performance, preventing failures, and automating maintenance—ensuring long-term reliability with minimal human intervention.
✓ The device delivers precise readings with an impressive accuracy of ≤±2% F.S.
✓ It responds quickly to changes with a response time of 3 seconds or less.
✓ The device operates reliably even in extreme temperatures of up to 250℃.
✓ It is designed to withstand dust and water exposure with IP65-rated protection.
1. Say Goodbye to Unexpected Downtime
Powered by AI and machine learning, the IEMA-AHM predicts motor failures before they happen—keeping your production running smoothly and avoiding costly interruptions.
2. Get Real-Time Insights at Your Fingertips
Monitor your motor’s health live with a smart, user-friendly dashboard that puts critical temperature and vibration data right in front of you—anytime, anywhere.
3. Smarter Maintenance, Bigger Savings
Optimize your maintenance schedule with powerful data trends and historical analysis that help you fix issues before they escalate—saving time, money, and manpower.
4. Built Tough for the Factory Floor
Designed to perform in the harshest conditions, this rugged device handles heat, humidity, and dust with ease—thanks to its industrial-grade build and IP65 protection.
Let’s discuss key for predictive maintenance, reducing downtime, and optimizing performance in industrial and infrastructure systems.